Humans Sleep At Night Bots Dont Fraud Research by Augustine Fou

  • 1,555 views
Uploaded on

Bots that are used to commit fraud can do so 24/7. Looking at analytics, we can see that the normal daily and hourly traffic patterns for humans is very different than that for bots.

Bots that are used to commit fraud can do so 24/7. Looking at analytics, we can see that the normal daily and hourly traffic patterns for humans is very different than that for bots.

More in: Marketing
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
1,555
On Slideshare
0
From Embeds
0
Number of Embeds
4

Actions

Shares
Downloads
0
Comments
0
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Augustine Fou- 1 - Humans Sleep, Fraud Bots Don’t Dr. Augustine Fou http://linkd.in/augustinefou acfou @mktsci .com July 2014
  • 2. Augustine Fou- 2 - Weekday vs Weekend weekends weekends weekends weekends weekdays weekdays weekdays weekdays Natural website pattern is weekends have lower traffic
  • 3. Augustine Fou- 3 - Human Pattern vs Bot Normal traffic pattern for weekday vs weekend (weekends are lower) Something is strange here because daily traffic should not be exactly the same from day to day (i.e. no normal weekday vs weekend cyclces) Natural website pattern is weekends have lower traffic
  • 4. Augustine Fou- 4 - Typical Hour-of-Day Pattern humans sleeping humans awake; visiting websites
  • 5. Augustine Fou- 5 - Humans Sleep At Night Hourly traffic charts show lower traffic at night (as expected because humans sleep at night) Unusual traffic patterns with no normal night time trends visible, likely due to bot activity
  • 6. Augustine Fou- 6 - Humans Visit via Search humans find sites via search, during waking hours Bot traffic adds anomalous spikes to pattern
  • 7. Augustine Fou- 7 - Search vs Non-Human Traffic notice the timing hour-of-day pattern
  • 8. Augustine Fou- 8 - Closeup by Hour of Day 6 am5 am 2 am 3 am 3 am 2 am 3 am 18396 sessions 162 184 178 159 156 Sunday 85% avg bounce rate; 100% peak bounce rate
  • 9. Augustine Fou- 9 - Dr. Augustine Fou – Digital Consigliere “I research ad fraud so I can advise clients on how to detect and mitigate it. This has the most direct mpact on the ROI of their digital marketing programs (i.e. Reducing ad waste due to fraud).” FORMER CHIEF DIGITAL OFFICER, HCG (OMNICOM) MCKINSEY CONSULTANT CLIENT SIDE / AGENCY SIDE EXPERIENCE PROFESSOR AND COLUMNIST ENTREPRENEUR / SMALL BUSINESS OWNER PHD MATERIALS SCIENCE (MIT '95) AT AGE 23 @acfou ClickZ Articles: http://bit.ly/augustine-fou-clickz Slideshares: http://bit.ly/augustine-fou-slideshares LinkedIn: https://www.linkedin.com/today/author/84444-augustinefou
  • 10. Augustine Fou- 10 - Related Articles Augustine Fou- 10 - http://www.slideshare.net/augustinefou/how-click-fraud-search-ad-fraud- works-analysis-by-augustine-fou http://www.slideshare.net/augustinefou/proof-positive-click-fraud- impacting-retailers-by-augustine-fou http://www.slideshare.net/augustinefou/proof-positive-click-fraud-sites- investigation-by-augustine-fou http://www.slideshare.net/augustinefou/ad-fraud-estimates-by-augustine-fou- technical-forensics-32293935 http://www.slideshare.net/augustinefou/fake-traffic-site-examples-2014- augustine-fou